Dexcom (DXCM) Operating Expenses (2010 - 2026)
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Analysis
Dexcom (DXCM) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Dexcom | 29.96 Bn | 21.78 Bn | 864.40 Mn | 537.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 537.20 Mn |
| Jun 30, 2026 | 511.70 Mn |
| Mar 31, 2026 | 495.00 Mn |
| Dec 31, 2025 | 469.70 Mn |
| Sep 30, 2025 | 488.90 Mn |
| Jun 30, 2025 | 476.20 Mn |
| Mar 31, 2025 | 455.30 Mn |
| Dec 31, 2024 | 466.90 Mn |
| Sep 30, 2024 | 441.80 Mn |
| Jun 30, 2024 | 468.70 Mn |
| Mar 31, 2024 | 460.80 Mn |
| Dec 31, 2023 | 439.70 Mn |
| Sep 30, 2023 | 417.80 Mn |
| Jun 30, 2023 | 418.30 Mn |
| Mar 31, 2023 | 415.40 Mn |
| Dec 31, 2022 | 415.90 Mn |
| Sep 30, 2022 | 346.70 Mn |
| Jun 30, 2022 | 372.50 Mn |
| Mar 31, 2022 | 356.80 Mn |
| Dec 31, 2021 | 472.00 Mn |
API Access
Dexcom Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=DXCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DXCM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=DXCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();